摘要
数据仓库是研究大数据集的快速、灵活查询的一种技术 ,系统的执行效率是致关重要的 .本文提出了一种新的概念———OLAP子立方体 ,并且给出应用这一概念改进数据仓库查询性能的相应算法 .作者结合铁道部货运数据仓库及数据挖掘系统 ,深入的研究了这一技术 。
Data warehouse and data mining are important directions of computer science.Because of tremendous commercial value,they have become the hot spots in research.As we have known,data warehouse focuses on query techniques which deal with large dataset.So the performance of query is the key to data warehouse system.In this paper,we propose sub datacube and its algorithms to improve the efficiency of Railroad Data Warehouse for Railroad Department of China.We can prove that this conception and its algorithms are very useful for data warehouse.
出处
《北方交通大学学报》
EI
CSCD
北大核心
2002年第2期43-46,共4页
Journal of Northern Jiaotong University
基金
铁道部科技研究发展计划项目 (2 0 0 0X0 3 0 -A)